Text Classification
Transformers
Safetensors
English
qwen2
text-generation-inference
unsloth
trl
text-embeddings-inference
Instructions to use Mithilss/Qwen2.5-1.5B-Instruct-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mithilss/Qwen2.5-1.5B-Instruct-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mithilss/Qwen2.5-1.5B-Instruct-finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mithilss/Qwen2.5-1.5B-Instruct-finetune") model = AutoModelForSequenceClassification.from_pretrained("Mithilss/Qwen2.5-1.5B-Instruct-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: Mithilss
- License: apache-2.0
- Finetuned from model : unsloth/Qwen2.5-1.5B-Instruct
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Mithilss/Qwen2.5-1.5B-Instruct-finetune
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